Essential Python Developer Skills for 2023 – IQCode’s Top Picks

Why Python is a Great First Step in Learning to Code

If you’re new to coding and looking for a great starting point, Python is the way to go. Even if you already have some coding experience, Python is versatile and easy to understand, making it a solid choice.

Unlike some other web development languages, Python is growing rapidly, especially among startups with limited funds and time. As an aspect-oriented language, it allows developers to design modules based on specific user actions.

Python lends itself well to backend components, connective computational services, and providing support to frontend developers on web applications. While other languages are sometimes used, Python is often the go-to choice for application development because it is highly readable, scalable, and has an abundance of libraries to facilitate development.

Python developers should have a set of skills to be successful. To learn more about these skills, read on.

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These are the top skills that a python developer should possess:

* Ability to write clean, readable code
* Understanding of basic programming principles and data structures
* Experience in working with fundamental programming libraries
* Knowledge of SQL database basics
* Familiarity with version control through GitHub or other sources

In conclusion, Python is an excellent language for beginners and experienced developers alike. Its versatility, scalability, and ease of use make it a go-to choice in the startup industry. By developing essential skills, Python developers set themselves up for success in their career.

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Who is a Python Developer?

A Python developer uses the programming language, frameworks, and tools to design, modify, and program applications and websites. The roles and domains of a Python developer are diverse. The role involves coding, devising and executing developmental projects on the back-end and server-side. Additionally, Python developers manage the technological framework of the companies. They closely work with analytics and data collection to formulate necessary answers to questions and provide valuable insights as well. The career path to becoming a thriving Python developer is an interesting one. Here are key tips to help advance in the field:

– Host your Python projects on Github as your resume.
– Develop accurate and well-documented code that follows essential coding standards.
– Study technological books and perfect peer code.
– Improve your technology skillset by comprehending more about Python libraries.
– Have good knowledge of AI and ML as they operate together with Python.
– Take up freelancing projects to assist in creating a good experience.
– Contribute to the opensource community on platforms such as GitHub.
– Keep following online tutorials to improve your coding skills.
– Learn ORM libraries, Python frameworks, front-end technologies, and version control systems thoroughly.

In the Python developer role, one is expected to optimize data algorithms, create websites, resolve data analytics problems, implement data protection, secure websites, and escreusable, effective, and testable code. Python developers are in high demand in hundreds of companies. If you have crucial Python developer skills, finding a job won’t be a problem.


Curious about the technical and soft skills needed for a Python developer? Here’s a list of required skills:

- Strong knowledge of Python programming language
- Proficiency in using essential libraries such as NumPy, Pandas, etc.
- Familiarity with web frameworks such as Flask, Django, etc.
- Expertise in object-oriented programming
- Understanding of database technologies like MySQL, PostgreSQL, etc.
- Excellent problem-solving and analytical skills
- Ability to work in a team and communicate effectively

These skills are crucial for becoming a successful Python developer.

Effective Debugging Skills in Python

Python is an easy-to-learn language; however, programmers encounter scenarios where their code does not produce the intended output. Bugs related to the range() function or improperly closing files may lead to errors. Debugging skills are critical to identifying and resolving these issues and may include printing variable values, modifying program paths, halting during specific events, and utilizing a debugging tool.< H3 >Python Frameworks for Efficient Development< /H3 >

Python frameworks automate redundant tasks and streamline development, allowing developers to focus on core application logic. With a plethora of options available, the choice of framework should align with project requirements. Frameworks offer greater versatility than libraries due to the abundance of pre-written components available to developers. Not only does this save time, but it can also reduce time-to-market. Three main types of Python frameworks include full-stack, micro-framework, and asynchronous. Here are a few popular web frameworks to consider:
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– Django
– Flask
– Pyramid
– FastAPI
– Tornado
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Django: The Best Python Framework

Django is a powerful, scalable, and fast framework for building web applications. With Django, you can develop projects of any size, from small sites to large corporate websites. It’s also a popular choice for machine learning projects. Django is well-known for its functionality and has a large and supportive user community for easy debugging and support. Choose Django to master one of the most sought-after Python frameworks.

Python Microframeworks for Web Developers

Flask, a microframework for Python, is easier to learn than Django and is a necessary skill for Python developers.

CherryPy is a popular and minimalistic Python microframework that gives developers the flexibility to use any technology for data access and templating.

Using Python Shell

Python has its own interactive shell, also known as REPL (Read-Eval-Print-Loop), which allows you to run commands and test code without creating a file. It reads commands, evaluates them, prints the output, and waits for the next command.

As a Python developer, knowing how to use the interpreter can save you time in testing new code. Simply type expressions or statements and view the output immediately. To access the Python shell, open your command prompt or terminal and type “python” to start the shell.

Core Python Skills for Python Developers

As a Python developer, it is crucial to have a strong foundation in core Python. A lack of knowledge can adversely affect both the individual and the company. It is essential for Python developers to be proficient in the following:

– Iterators
– Generators
– OOP Concepts
– Data Structures
– Exception Handling

By mastering these core Python skills, developers can write efficient and high-quality code.

What is an ORM and why use it?

ORMs (Object Relational Mappers) are libraries that simplify the process of transferring data between a relational database and Python objects. They facilitate the conversion of incompatible data types through object-oriented programming. ORMs can also create a virtual object database that can be accessed through Python or other languages.

One of the primary benefits of using an ORM is that it allows developers to save time and effort by offering them the flexibility to switch to another relational database with ease. With ORM, Python developers can forego SQL and instead use Python to write code and update data schemas.

Essential Python Libraries

Python offers a wide array of libraries that come in handy for programmers. These libraries have numerous projects, over 267,000 on the Python Package Index. Below are some libraries that developers can use to simplify their projects:

– TensorFlow: an exceptional library for numerical and scientific calculations.
– Requests: a library that simplifies the task of designing and sending HTTP requests.
– Matplotlib: a popular library that provides diverse ways of visualizing data.
– Peewee: a library that backs popular databases like SQLite and PostgreSQL, enabling developers to operate easily with databases while avoiding the complexity of relational database management systems.


import tensorflow as tf
import requests
import matplotlib.pyplot as plt
from peewee import *

#use tensorflow to perform high-performance numerical and scientific calculations
result = tf.multiply(10, 10)

#use requests to make HTTP requests simpler

#use matplotlib to visualize data
plt.plot([1, 2, 3, 4])

#use peewee to operate with databases, avoiding the complexities of relational database management systems
db = SqliteDatabase(‘my_database.db’)

class BaseModel(Model):
class Meta:
database = db

class User(BaseModel):
username = CharField()



In today’s digital era, Artificial Intelligence (AI) and Machine Learning (ML) have become essential parts of various industries. Incorporating these technologies in web applications can be tremendously productive. Python developers who work with data science can leverage their skills to analyze, collect, and visualize data, including neural networks. As experts in data science, they can interpret extracted data, anticipate user behavior, and identify trends to gain a better understanding of where the business application is headed. Therefore, having a strong understanding of machine learning algorithms is beneficial for Python developers when interviewing for roles involving AI/ML and data science.


When designing a web application, it is important for Python developers to separate the internal workings from users. This is achieved through the use of a development architecture. Some simpler frameworks and architecture models include Model View Template and Model View Controller. It is essential for Python developers to have a basic understanding of how their code will function during release or deployment. Once they understand the architecture, they can identify and resolve any issues within the core framework to optimize and improve results.

Slicing and List Comprehension in Python

In Python, slicing and list comprehension are considered powerful features. Slicing can be used with strings and lists to extract a subset of the original data without using complex indexing and if conditions. List comprehension helps in building a new list easily and efficiently based on an existing list or other data structures like strings. It offers a concise and readable syntax to replace multiple lines of loops.

Understanding Front-End Technologies

As a Python developer, it’s important to understand front-end technologies like JavaScript, HTML5, and CSS3. This knowledge is helpful when collaborating with the front-end team to ensure server-side and client-side compatibility. Understanding the app’s visuals and capabilities is crucial. While UX and Project Managers are usually present in agile software houses, knowing front-end development can be beneficial. While not necessary, having this expertise can prove advantageous in specific situations.

Essential Python Developer Skills

As a Python developer, it’s important to continuously improve your skills to make yourself more marketable and successful. Learning new libraries, attending conferences, and coding in your spare time are just a few ways to do this. Additionally, taking courses, webinars, and teaching others can help you find your niche. Remember, your skill set is your weapon, so keep learning and growing to become the most sought-after Python developer.


Q: Should I learn Python or SQL first?
A: We recommend learning SQL first, as it’s essential for data retrieval from relational databases.

Q: Which database is best for Python?
A: PostgreSQL is highly recommended as the backend for Python web applications due to its active development, feature set, and stability.

Q: How long does it take to learn Python?
A: It usually takes between two to six months to learn the basics, but mastering Python’s vast collection of libraries can take months or even years.

Q: Is Python enough to get a job?
A: Python alone is not enough to land a job, as jobs demand a set of skills. Technical versatility is essential in addition to specialization. For example, web application development requires proficiency in JavaScript, HTML, and CSS.

Additional Resources

Here are some resources for learning and developing your skills in Python:

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